Human-exoskeleton physical interaction and control

Musculoskeletal modeling formulations driven by electrophysiological recordings can be used to understand the complex dynamics of human-machine interaction in healthy and impaired individuals wearing robotics exoskeletons. We develop advanced online musculoskeletal modeling schemes that predict how an individual’s neuromusculoskeletal system responds to wearable devices connected in parallels to their residual limbs. This information is used in real-time to control wearable robots to restore or enhance human motor capacity.

The efforts in robotic devices simulation are constantly increasing in the latest years. A reliable and accurate dynamic simulator could improve the quality of the mechanical and controller design, while reducing the cost of development. We use dynamic modelling and simulation to accurately predict wearable robot function and interaction with biological tissues.